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IonQ Says New Architecture a Step Toward More Powerful Quantum Computers

IonQ chip
IonQ chip
IonQ, Inc. unveiled its Reconfigurable Multicore Quantum Architecture (RMQA) technology.

IonQ, Inc. unveiled a Reconfigurable Multicore Quantum Architecture (RMQA) technology, what the company termed a breakthrough in quantum computing. They added that are ahead of technical roadmap expectations at the start of 2021.

IonQ demonstrated achieving 4 chains of 16 ions each that can be dynamically configured into quantum computing cores. Company officials believe this has laid the foundation for increases to qubit count into the triple digits on a single chip, as well as future Parallel Multicore Quantum Processing Units.

This demonstration was achieved on a technological platform recently added to IonQ’s list of intellectual property, called Evaporated Glass Traps (EGTs). Developed by an IonQ team led by UC Berkeley Physics PhD and ex-GTRI and -NIST researcher Jason Amini, the EGT platform offers an unprecedented level of performance and is a crucial part of IonQ’s roadmap to rapid scalability and increased computing power.

“The Reconfigurable Multicore Quantum Architecture marks a key milestone for IonQ and for the quantum computing industry in general,” remarked IonQ President and CEO Peter Chapman. “RMQA is a critical enabler of our ability to scale qubit density and deliver the computational power projected in our roadmap. We’re very proud of the team at IonQ that has achieved a powerful platform for scalability and control in a single technical breakthrough.”

Today’s news involves the separation and merger of a total of 64 ions to create a RMQA using 4 chains of 16 ions each. The ion chains are transported and merged into permutations of a higher-connectivity, 32-ion quantum computing core, allowing for scaling to large numbers of qubits without the fidelity loss that historically accompanies very long chains of ions. This architecture was realized on IonQ’s EGT Series ion trap chip, which provides the stability necessary to operate this architecture with little to no recalibration, maximizing uptime and optimizing transport. The EGT series platforms are expected to be extended to support more chains, with each chain increasing the quantum computational power by a factor of 4000 or more.

The news continues a year of considerable momentum for IonQ. Its trapped-ion quantum computers were recently added to Google Cloud Marketplace, making IonQ the only supplier whose quantum computers are available via all of the major cloud providers. In addition, IonQ’s co-founders joined the White House’s National Quantum Initiative Advisory Committee to accelerate the development of the national strategic technological imperative. IonQ is also preparing to become the first publicly-traded, pure-play quantum computing company via a merger with dMY Technology Group, Inc. III (NYSE: DMYI) (“dMY III”).

Source: IonQ
IonQ, Inc. is the leader in quantum computing, with a proven track record of innovation and deployment. IonQ’s 32-qubit quantum computer is the world’s most powerful trapped-ion quantum computer, and IonQ has defined what it believes is the best path forward to scale. IonQ is the only company with its quantum systems available through the cloud on Amazon Braket, Microsoft Azure, and Google Cloud, as well as through direct API access. IonQ was founded in 2015 by Christopher Monroe and Jungsang Kim based on 25 years of pioneering research. To learn more, visit www.IonQ.com.

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With a several-decades long background in journalism and communications, Matt Swayne has worked as a science communicator for an R1 university for more than 12 years, specializing in translating high tech and deep tech for the general audience. He has served as a writer, editor and analyst at The Quantum Insider since its inception. In addition to his service as a science communicator, Matt also develops courses to improve the media and communications skills of scientists and has taught courses. [email protected]

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The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

Picture of Jake Vikoren

Jake Vikoren

Company Speaker

Picture of Deep Prasad

Deep Prasad

Company Speaker

Picture of Araceli Venegas

Araceli Venegas

Company Speaker

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